Past Grantees and Fellows

Policymakers assert that broad public support should be a precondition for military action; however, the conditions under which racial/ethnic gaps in war support emerge remain unclear. Using public polling and an original survey, we study the mechanisms producing such gaps across conflicts and over time.

Through semi-structured interviews, this qualitative study aims to explore perceptions of and experiences with stigma among NY residents who receive or are eligible for SNAP benefits. Findings will be used to develop a survey measure on stigma to examine its association with key nutrition outcomes.

The fellowship allowed for substantial progress on a book for Cambridge Elements in Political Economy, focusing on the use of lotteries and citizens' assemblies in democratic governance, entitled "Lotteries and Democracy".

When donors extend foreign aid, they often attach requirements on how funds can be spent. Conditions are intended to increase the effectiveness of aid, but recipient governments can perceive them to infringe on sovereignty. How do publics and elites in recipient countries view aid conditionality?

The funding from this grant helped to support graduate student research.

How do urban and immigrant fishers and anglers in upstate New York use fish from the Great Lakes? By understanding fish uses and perceived risks and benefits of consumption among urban immigrants, I will illuminate the needs of groups under-represented in fishery management and fish consumption policies.

This project will explore undocumented college students' social, health, and educational experiences post COVID-19. Sixty semi-structured interviews will be conducted with undocumented undergraduates from (1) a west coast community college; (2) a south-central public university; and (3) an east coast ivy league university.

This project will use complete student transcript data to map the bipartite (two-mode) network that connects students to each other via their enrollment in college courses, thereby creating social structural conditions for the spread of COVID-19 on college campuses. We will evaluate how clusters of course offerings, the timing of courses throughout the week, and mode of class instruction affect the structure of this network. We will also assess how students with different majors, level in school, gender, and race occupy different positions within the network.

Human societies prohibit indiscriminate violence but permit force in self-defense or forceful games. This project will investigate when children develop distinctions between right and wrong force and whether such distinctions predict their own use of force and social relationships.

The CCSS fellowship allowed me to assimilate a new qualitative dimension into my (traditionally quantitative) research.  This enabled a mixed-methods study of proactive moderation practices and of the potential for algorithmic support in multiple online discussion platforms and has (so far) led to a CSCW publication in the PACM HCI journal. 

The team proposes a novel, yet simple, approach for aligning generative AI with human preferences by focusing on domain-specific generation controls and using discrete choice econometric modeling. This method aims to maximize generated content's appeal and inform willingness-to-pay estimates in economics settings, particularly in applications such as sustainability label design.